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Spss Modeler

High Quality Content by WIKIPEDIA articles! SPSS Modeler is a data mining software tool by SPSS Inc., an IBM company. It was originally named SPSS Clementine by SPSS, after which it was renamed PASW Modeler in 2009 by SPSS. It was since acquired by IBM in its acquisition of SPSS Inc.

High Quality Content by WIKIPEDIA articles! SPSS Modeler is a data mining software tool by SPSS Inc., an IBM company. It was originally named SPSS Clementine by SPSS, after which it was renamed PASW Modeler in 2009 by SPSS.

Data Mining with IBM SPSS Modeler (IBM SPSS Clementine)

This book presents the most common techniques used in data mining in a simple and easy to understand through one of the most common software solutions from among those existing in the market, in particular, IBM SPSS CLEMENTINE whose current name is IBM SPSS MODELER. Pursued as initial aim clarifying the applications concerning methods traditionally rated as difficult or dull. It seeks to present applications in data mining without having to manage high mathematical developments or complicated theoretical algorithms, which is the most common reason for the difficulties in understanding and implementation of this matter. Today data mining is used in different fields of science. Noteworthy applications in banking, and financial analysis of markets and trade, insurance and private health, in education, in industrial processes, in medicine, biology and bioengineering, telecommunications and in many other areas. Essentials to get started in data mining, regardless of the field in which it is applied, is the understanding of own concepts, task that does not require nor much less the domain of scientific apparatus involved in the matter. Later, when either necessary operative advanced, computer programs allow the results without having to decipher the mathematical development of the algorithms that are under the procedures. This book describes the simplest possible data mining concepts, so that they are understandable by readers with different training. The chapters begin describing the techniques in affordable language and then presenting the way to treat them through practical applications. An important part of each chapter are case studies completely resolved, including the interpretation of the results, which is precisely the most important thing in any matter with which they work. The book begins with an introduction to mining data and its phases. In successive chapters develop the initial phases (selection of information, data exploration, data cleansing, transformation of data, etc.). Subsequently elaborates on specific data mining, both predictive and descriptive techniques. Predictive techniques covers all models of regression, discriminant analysis, decision trees, neural networks and other techniques based on models. The descriptive techniques vary dimension reduction techniques, techniques of classification and segmentation (clustering), and exploratory data analysis techniques.

This book presents the most common techniques used in data mining in a simple and easy to understand through one of the most common software solutions from among those existing in the market, in particular, IBM SPSS CLEMENTINE whose current ...

Spss Modeler

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. SPSS Modeler is a data mining software tool by SPSS Inc., an IBM company. It was originally named SPSS Clementine by SPSS, after which it was renamed PASW Modeler in 2009 by SPSS. It was since acquired by IBM in its acquisition of SPSS Inc. SPSS Modeler uses a three-tier design. Users manipulate icons and options in the front-end application on Windows operating systems. This front-end client application then communicates with a Clementine Server software, or directly with a database or dataset. The most common configuration in large corporations is to house the Clementine Server software on a powerful analytical server box, which then connects to the corporate Data warehouse. Data processing commands are automatically converted from the icon-based user interface into a command code and is sent to the Clementine Server for processing.

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. SPSS Modeler is a data mining software tool by SPSS Inc., an IBM company.

Decision Trees and Applications with IBM SPSS Modeler

A wide range of applications, such as R, SAS, MATLAB, and SPSS Statistics, provide a huge toolbox of methods to analyze large data and can be used by experts to find patterns and interesting structures in the data. Many of these tools are mainly programming languages, which assumes the analyst has deeper programming skills and an advanced background in IT and mathematics. Since this field is becoming more important, graphic user-interfaced data analysis software is starting to enter the market, providing "drag and drop" mechanisms for career changers and people who are not experts in programming or statistics.One of these easy to handle, data analytics applications is the IBM SPSS Modeler. This book is dedicated to the introduction and explanation of its data analysis power and focused in decision trees. The more important topics are the next: Decision Tree Models General Uses of Tree-Based Analysis C&RT Algorithms CHAID Algorithms QUEST Algorithms C5.0 Algorithms Decision Trees with IM SPSS Modeler Building a Decision Tree with the C5.0 Node Building a decision tree with the CHAID node The C&R Tree node and variable generation The QUEST node-Boosting & Imbalanced data Detection of diabetes-comparison of decision tree nodes Rule set and cross-validation with C5.0 The Auto Classifier Node Building a Stream with the Auto Classifier Node The Auto Classifier Model Nugget Models for credit rating with the Auto Classifier node SVM classifier Interactive decision Trees with IBM SPSS Modeler The Interactive Tree Builder Growing and Pruning the Tree Defining Custom Splits Customizing the Tree View Gains Risks The Growing Directives Generation Filter and Select Nodes Building a Tree Model Directly C&R Tree, CHAID, QUEST, and C 5.0 Models Nuggets Model Nuggets for Boosting, Bagging and Very Large Datasets

This book is dedicated to the introduction and explanation of its data analysis power and focused in decision trees.

Introduction to R in IBM SPSS Modeler

This IBM RedpaperTM publication focuses on the integration between IBM® SPSS® Modeler and R. The paper is aimed at people who know IBM SPSS Modeler and have only a very limited knowledge of R. Chapters 2, 3, and 4 provide you with a high level understanding of R integration within SPSS Modeler enabling you to create or recreate some very basic R models within SPSS Modeler, even if you have only a basic knowledge of R. Chapter 5 provides more detailed tips and tricks. This chapter is for the experienced user and consists of items that might help you get up to speed with more detailed functions of the integration and understand some pitfalls.

This IBM RedpaperTM publication focuses on the integration between IBM® SPSS® Modeler and R. The paper is aimed at people who know IBM SPSS Modeler and have only a very limited knowledge of R. Chapters 2, 3, and 4 provide you with a high ...

IBM SPSS Modeler Cookbook

This is a practical cookbook with intermediate-advanced recipes for SPSS Modeler data analysts. It is loaded with step-by-step examples explaining the process followed by the experts.If you have had some hands-on experience with IBM SPSS Modeler and now want to go deeper and take more control over your data mining process, this is the guide for you. It is ideal for practitioners who want to break into advanced analytics.

This is a practical cookbook with intermediate-advanced recipes for SPSS Modeler data analysts.